LT3717329T - Bėgių patikros naudojant kompiuterio mokymą transporto priemonė, sistema ir būdas - Google Patents
Bėgių patikros naudojant kompiuterio mokymą transporto priemonė, sistema ir būdasInfo
- Publication number
- LT3717329T LT3717329T LTEPPCT/US2018/062737T LTUS2018062737T LT3717329T LT 3717329 T LT3717329 T LT 3717329T LT US2018062737 T LTUS2018062737 T LT US2018062737T LT 3717329 T LT3717329 T LT 3717329T
- Authority
- LT
- Lithuania
- Prior art keywords
- inspecting
- rail
- vehicle
- machine learning
- learning
- Prior art date
Links
Classifications
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01B—PERMANENT WAY; PERMANENT-WAY TOOLS; MACHINES FOR MAKING RAILWAYS OF ALL KINDS
- E01B35/00—Applications of measuring apparatus or devices for track-building purposes
- E01B35/06—Applications of measuring apparatus or devices for track-building purposes for measuring irregularities in longitudinal direction
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61D—BODY DETAILS OR KINDS OF RAILWAY VEHICLES
- B61D15/00—Other railway vehicles, e.g. scaffold cars; Adaptations of vehicles for use on railways
- B61D15/08—Railway inspection trolleys
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61K—AUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
- B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
- B61K9/08—Measuring installations for surveying permanent way
- B61K9/10—Measuring installations for surveying permanent way for detecting cracks in rails or welds thereof
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/042—Track changes detection
- B61L23/044—Broken rails
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/042—Track changes detection
- B61L23/045—Rail wear
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/023—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance where the material is placed in the field of a coil
- G01N27/025—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance where the material is placed in the field of a coil a current being generated within the material by induction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/90—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
- G01N27/9046—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents by analysing electrical signals
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/043—Analysing solids in the interior, e.g. by shear waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/225—Supports, positioning or alignment in moving situation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/26—Arrangements for orientation or scanning by relative movement of the head and the sensor
- G01N29/265—Arrangements for orientation or scanning by relative movement of the head and the sensor by moving the sensor relative to a stationary material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4481—Neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/262—Linear objects
- G01N2291/2623—Rails; Railroads
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/90—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
- G01N27/9093—Arrangements for supporting the sensor; Combinations of eddy-current sensors and auxiliary arrangements for marking or for rejecting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Mechanical Engineering (AREA)
- Civil Engineering (AREA)
- Signal Processing (AREA)
- Structural Engineering (AREA)
- Architecture (AREA)
- Acoustics & Sound (AREA)
- Electrochemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Transportation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
- Machines For Laying And Maintaining Railways (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/826,780 US11078631B2 (en) | 2017-11-30 | 2017-11-30 | System and method for inspecting a rail using machine learning |
| PCT/US2018/062737 WO2019108585A1 (en) | 2017-11-30 | 2018-11-28 | System and method for inspecting a rail using machine learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| LT3717329T true LT3717329T (lt) | 2023-10-25 |
Family
ID=66634929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| LTEPPCT/US2018/062737T LT3717329T (lt) | 2017-11-30 | 2018-11-28 | Bėgių patikros naudojant kompiuterio mokymą transporto priemonė, sistema ir būdas |
Country Status (11)
| Country | Link |
|---|---|
| US (2) | US11078631B2 (lt) |
| EP (2) | EP4234358A3 (lt) |
| CN (2) | CN111655562B (lt) |
| AU (1) | AU2018375316B2 (lt) |
| CA (1) | CA3083751A1 (lt) |
| ES (1) | ES2958708T3 (lt) |
| LT (1) | LT3717329T (lt) |
| PT (1) | PT3717329T (lt) |
| SG (1) | SG11202004771QA (lt) |
| WO (1) | WO2019108585A1 (lt) |
| ZA (2) | ZA202003212B (lt) |
Families Citing this family (32)
| Publication number | Priority date | Publication date | Assignee | Title |
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| AT519316B1 (de) * | 2016-11-04 | 2019-05-15 | Plasser & Theurer Export Von Bahnbaumaschinen Gmbh | Gleisbaumaschine mit Gleislagemesssystem |
| WO2018106677A1 (en) * | 2016-12-05 | 2018-06-14 | The Regent Of The University Of California | Ultrasonic inspection of railroad tracks |
| AU2019218476B2 (en) * | 2018-02-06 | 2023-04-20 | Matisa Materiel Industriel Sa | Method for locating points or lines of interest on a railway track |
| US11853812B2 (en) * | 2018-12-20 | 2023-12-26 | Here Global B.V. | Single component data processing system and method utilizing a trained neural network |
| DE102019208865A1 (de) | 2019-06-18 | 2020-12-24 | Siemens Mobility GmbH | Odometrisches Verfahren, insbesondere für ein Schienenfahrzeug oder eine Leitzentrale |
| US11787453B2 (en) * | 2019-09-05 | 2023-10-17 | Progress Rail Services Corporation | Maintenance of distributed train control systems using machine learning |
| CN111060591B (zh) * | 2019-12-06 | 2020-09-22 | 北京瑞莱智慧科技有限公司 | 基于空洞卷积网络的金属零件疲劳监测方法及系统 |
| JP7414531B2 (ja) * | 2020-01-06 | 2024-01-16 | 株式会社東芝 | 学習装置、学習方法及びプログラム |
| US20230073361A1 (en) * | 2020-02-07 | 2023-03-09 | Konux Gmbh | System and method for analysing railway related data |
| CN111257422B (zh) * | 2020-02-28 | 2023-09-08 | 北京新联铁集团股份有限公司 | 基于机器视觉的轮轴缺陷识别模型构建方法和缺陷识别方法 |
| WO2021194445A1 (en) * | 2020-03-26 | 2021-09-30 | Süleyman Demi̇rel Üni̇versi̇tesi̇ | Accident prevention system and method for rail systems |
| US11377945B2 (en) | 2020-04-29 | 2022-07-05 | Saudi Arabian Oil Company | Method for automated crack detection and analysis using ultrasound images |
| CN111932489B (zh) * | 2020-06-03 | 2024-02-20 | 西安电子科技大学 | 焊缝缺陷检测方法、系统、存储介质、计算机设备、终端 |
| WO2021256444A1 (ja) * | 2020-06-15 | 2021-12-23 | Jfeスチール株式会社 | 機械的特性の計測装置、機械的特性の計測方法、物質の製造設備、物質の管理方法および物質の製造方法 |
| CN111855825B (zh) * | 2020-06-28 | 2023-02-07 | 济南大学 | 基于bp神经网络的轨头核伤识别方法及系统 |
| US20220018811A1 (en) * | 2020-07-14 | 2022-01-20 | Saudi Arabian Oil Company | Machine learning method for the denoising of ultrasound scans of composite slabs and pipes |
| TWI758850B (zh) * | 2020-09-07 | 2022-03-21 | 佳世達科技股份有限公司 | 超音波物件的體積計算方法及其相關超音波系統 |
| ES3059948T3 (en) * | 2020-09-14 | 2026-03-24 | Siemens Mobility GmbH | Method and device for determining a track-bound rail path in a track system |
| US20240329000A1 (en) * | 2020-10-02 | 2024-10-03 | Evident Canada, Inc. | Flaw classification during non-destructive testing |
| US11858543B2 (en) * | 2020-12-21 | 2024-01-02 | Progress Rail Services Corporation | System and method for controlling operations of a train using energy management machine learning models |
| KR102687744B1 (ko) * | 2020-12-31 | 2024-07-24 | 한국과학기술원 | 장단기 기억 네트워크 기반 스펙트럼 노이즈 감소 및 비선형 초음파 변조를 이용한 구조물의 피로 균열 검출 방법 및 이를 위한 시스템 |
| WO2022156873A1 (en) * | 2021-01-22 | 2022-07-28 | MTU Aero Engines AG | A computer-implemented method for training an artificial neural network, method for inspecting a component, test system for examining components, and computer program |
| US11763428B2 (en) | 2021-06-22 | 2023-09-19 | Saudi Arabian Oil Company | System and method for de-noising an ultrasonic scan image using a convolutional neural network |
| FR3126683B1 (fr) * | 2021-09-07 | 2025-03-07 | Eramet | Dispositif d’analyse ferroviaire |
| CN113863071B (zh) * | 2021-09-24 | 2023-04-18 | 广东真正工程检测有限公司 | 一种适用于工程测量可检测铁路多项参数的检测车 |
| US12618803B2 (en) | 2021-10-29 | 2026-05-05 | National Bank Of Canada | System and method for automated acquisition and analysis of electromagnetic testing data |
| CN114417921B (zh) * | 2022-01-05 | 2024-04-30 | 中国国家铁路集团有限公司 | 轨道几何异常数据的识别方法、装置、设备和存储介质 |
| CN115239632B (zh) * | 2022-06-23 | 2024-04-09 | 西南交通大学 | 一种融合巡检图像和超声波图像的钢轨表面伤损检测方法 |
| US12216087B2 (en) * | 2022-12-13 | 2025-02-04 | Saudi Arabian Oil Company | Portable EMI machine |
| TWI914656B (zh) | 2023-11-01 | 2026-02-11 | 清展科技股份有限公司 | 用於3d物件的量測辨識系統 |
| CN118777303A (zh) * | 2024-06-14 | 2024-10-15 | 中国第一汽车股份有限公司 | 一种白车身缺陷检测方法、装置、设备及存储介质 |
| US20260116438A1 (en) * | 2024-10-31 | 2026-04-30 | Disney Enterprises, Inc. | Anomaly detection system for a track vehicle system |
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| US4487071A (en) * | 1982-09-22 | 1984-12-11 | Dapco Industries, Inc. | Flaw detection system for railroad rails and the like |
| WO1992019963A1 (en) * | 1991-05-07 | 1992-11-12 | Dapco Industries | Real-time ultrasonic testing system |
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| AU2002213064A1 (en) * | 2000-10-10 | 2002-04-22 | Sperry Rail, Inc. | Hi-rail vehicle-based rail inspection system |
| US6782377B2 (en) * | 2001-03-30 | 2004-08-24 | International Business Machines Corporation | Method for building classifier models for event classes via phased rule induction |
| US20020183995A1 (en) | 2001-06-05 | 2002-12-05 | Alastair Veitch | System and method for simulating railroad rail testing |
| US6768298B2 (en) | 2001-07-17 | 2004-07-27 | Transportation Technology Center, Inc. | Transverse crack detection in rail head using low frequency eddy currents |
| US20170313332A1 (en) * | 2002-06-04 | 2017-11-02 | General Electric Company | Autonomous vehicle system and method |
| ITRM20050381A1 (it) | 2005-07-18 | 2007-01-19 | Consiglio Nazionale Ricerche | Metodo e sistema automatico di ispezione visuale di una infrastruttura. |
| JP2009222508A (ja) * | 2008-03-14 | 2009-10-01 | Hitachi Kokusai Electric Inc | データ検査システム |
| WO2010099416A1 (en) | 2009-02-27 | 2010-09-02 | Magna Electronics | Alert system for vehicle |
| US8736419B2 (en) | 2010-12-02 | 2014-05-27 | Zonar Systems | Method and apparatus for implementing a vehicle inspection waiver program |
| US8485035B2 (en) * | 2011-08-22 | 2013-07-16 | Herzog Services, Inc. | Method of detecting defects |
| WO2013070455A1 (en) * | 2011-11-10 | 2013-05-16 | The Regents Of The University Of California | Stress detection in rail |
| CN103411974B (zh) * | 2013-07-10 | 2017-02-08 | 杭州赤霄科技有限公司 | 基于云端大数据的平面材料检测远程系统及检测方法 |
| CN103448751B (zh) * | 2013-09-22 | 2016-04-13 | 西南交通大学 | 一种非接触式车轮位置感应装置 |
| CA2939410A1 (en) | 2014-02-11 | 2015-08-20 | Pure Technologies Ltd. | Method and system for non-destructive rail inspection |
| US10212176B2 (en) * | 2014-06-23 | 2019-02-19 | Hewlett Packard Enterprise Development Lp | Entity group behavior profiling |
| US9881428B2 (en) | 2014-07-30 | 2018-01-30 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
| GB2542115B (en) * | 2015-09-03 | 2017-11-15 | Rail Vision Europe Ltd | Rail track asset survey system |
| DE102016202730A1 (de) * | 2016-02-23 | 2017-03-16 | Siemens Aktiengesellschaft | Verfahren zum Überprüfen wenigstens eines Aktors und/oder Sensors eines autonom fahrbaren Schienenfahrzeugs und Vorrichtung zum automatischen Fahren eines Schienenfahrzeugs |
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| US10007867B2 (en) | 2016-04-04 | 2018-06-26 | Google Llc | Systems and methods for identifying entities directly from imagery |
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| KR20180070062A (ko) * | 2016-12-16 | 2018-06-26 | 삼성전자주식회사 | 이동체 및 이동체의 제어 방법 |
| US10803571B2 (en) * | 2017-02-14 | 2020-10-13 | Cogniac, Corp. | Data-analysis pipeline with visual performance feedback |
| US20180260720A1 (en) * | 2017-03-13 | 2018-09-13 | General Electric Company | Fatigue Crack Growth Prediction |
| US10692000B2 (en) * | 2017-03-20 | 2020-06-23 | Sap Se | Training machine learning models |
| CN107290428B (zh) | 2017-06-23 | 2020-02-07 | 上海新跃联汇电子科技有限公司 | 基于深度学习的超声波铁轨探伤小车系统及其控制方法 |
| US10811151B2 (en) * | 2017-07-05 | 2020-10-20 | Electric Power Research Institute, Inc. | Apparatus and method for identifying cracks in a structure using a multi-stage classifier |
-
2017
- 2017-11-30 US US15/826,780 patent/US11078631B2/en active Active
-
2018
- 2018-11-28 SG SG11202004771QA patent/SG11202004771QA/en unknown
- 2018-11-28 EP EP23175830.1A patent/EP4234358A3/en not_active Withdrawn
- 2018-11-28 WO PCT/US2018/062737 patent/WO2019108585A1/en not_active Ceased
- 2018-11-28 CA CA3083751A patent/CA3083751A1/en active Pending
- 2018-11-28 LT LTEPPCT/US2018/062737T patent/LT3717329T/lt unknown
- 2018-11-28 PT PT188826325T patent/PT3717329T/pt unknown
- 2018-11-28 CN CN201880088101.5A patent/CN111655562B/zh not_active Expired - Fee Related
- 2018-11-28 CN CN202310904525.7A patent/CN116872982A/zh active Pending
- 2018-11-28 AU AU2018375316A patent/AU2018375316B2/en active Active
- 2018-11-28 ES ES18882632T patent/ES2958708T3/es active Active
- 2018-11-28 EP EP18882632.5A patent/EP3717329B1/en not_active Revoked
-
2020
- 2020-05-28 ZA ZA2020/03212A patent/ZA202003212B/en unknown
-
2021
- 2021-07-23 US US17/384,385 patent/US20210348342A1/en not_active Abandoned
- 2021-08-25 ZA ZA2021/06137A patent/ZA202106137B/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| AU2018375316B2 (en) | 2022-04-21 |
| ZA202003212B (en) | 2021-10-27 |
| EP3717329A4 (en) | 2021-10-06 |
| EP4234358A3 (en) | 2023-10-18 |
| US11078631B2 (en) | 2021-08-03 |
| EP3717329A1 (en) | 2020-10-07 |
| WO2019108585A1 (en) | 2019-06-06 |
| PT3717329T (pt) | 2023-09-29 |
| CN116872982A (zh) | 2023-10-13 |
| US20190161919A1 (en) | 2019-05-30 |
| CN111655562B (zh) | 2023-07-28 |
| BR112020010826A2 (pt) | 2020-11-10 |
| ZA202106137B (en) | 2022-07-27 |
| EP4234358A2 (en) | 2023-08-30 |
| EP3717329B1 (en) | 2023-07-05 |
| SG11202004771QA (en) | 2020-06-29 |
| ES2958708T3 (es) | 2024-02-13 |
| US20210348342A1 (en) | 2021-11-11 |
| CN111655562A (zh) | 2020-09-11 |
| AU2018375316A1 (en) | 2020-06-11 |
| CA3083751A1 (en) | 2019-06-06 |
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